iLookOut for Child Abuse: Micro-learning to Improve Knowledge Retention

Acceptable completion of iLookOut Micro-learning program measured by 50% of core program learners completing the micro-learning program.

Evaluate whether a multi-faceted implementation strategy that includes learners completing an initial core training that is reinforced by using a micro-learning program (core learning program + micro-learning) is a way to educate ECPs about child abuse and its reporting. We will judge the iLookOut intervention program to have an acceptable completion rate if: \>50% of ECPs who complete iLookOut's core learning program also complete the micro-learning program.

Feasibility of iLookOut micro-learning program used for professional development measured by 75% of leaner self-reporting learner satisfaction using net promoter score.

Evaluate whether a multi-faceted implementation strategy that includes learners completing an initial core training followed by using a micro-learning program is a feasible way to educate ECPs about child abuse and its reporting. We will judge the iLookOut intervention feasible if: \>75% of participants report endorsing the iLookOut micro-learning program, as measured by the a net promoter score that is \>0. The net promoter scale consists of one question, How likely would you be to recommend this learning program to a fellow early childhood professional?, with responses measured on a -100 to +100.

Average knowledge score compared at 5-time points and measured by the iLookOut knowledge assessment.

The iLookOut knowledge measure includes 26 knowledge items. Each item has a correct and incorrect response that is scored for correctness. The knowledge score will be measured at 5 time-points: 1) prior to the core learning program; 2) immediately after the learning program; 3) immediately prior to micro-learning; 4) immediately after micro-learning; and 5) three months after completion of micro-learning. The average knowledge score will be compared at each time-point.

Knowledge score decay and remediation measured by change in average knowledge score on the iLookOut knowledge assessment over 5 time points.

The iLookOut knowledge scores collected at each of 5 time points will be compared to determine the change in knowledge at each time-point. A reduction in knowledge score from a prior assessment of knowledge will be considered a decay in knowledge. An increase in knowledge score after such a decay will be considered remediation. Knowledge scores will evaluate the natural course of knowledge decay, the degree of remediation following completion of micro-learning activities, and then any subsequent knowledge decay. Knowledge will be measured at 5 time-points: 1) prior to the core learning program; 2) immediately after the learning program; 3) immediately prior to micro-learning; 4) immediately after micro-learning; and 5) three months after completion of micro-learning. The average knowledge scores at each time-point will be compared.